Purpose: Despite significant commitments between corporations and the government on green supply chain, green logistics and sustainable production, the adoption of green and sustainable trading innovation in Vietnam continues to face many obstacles. The objective of this study is to approach the decision to adopt green and sustainable trading innovation from the perspective of the enterprise. Research Design, Methodology and Approach: A cross-sectional study with the participation of 651 employees and managers at distribution enterprises such as logistics, supply, and delivery enterprises in southern Vietnam was conducted to assess business innovation decisions through innovation awareness. Partial least squares structural equation modelling (PLS-SEM) was proposed to evaluate the structural relationships of the model. Results: The research results show that the decision to innovate an enterprise is directly positively affected by the perception of marketing innovation, process innovation and organizational innovation; in which process innovation and organizational innovation are mediators for the perception of marketing innovation. Conclusions: This study makes a significant contribution by demonstrating the impact of marketing innovation awareness on the entire process that leads to enterprise innovation decisions to fulfil customer expectations and competitive pressure in the context of the green supply chain, green logistics and sustainable production.

Purpose: This study aims to investigate the role of Logistics Management Information Systems (LMIS) in supporting healthcare infrastructure in rural Kazakhstan, and to identify the benefits and challenges of implementing LMIS in these settings. Methodology: A mixed-methods approach was used, combining both qualitative and quantitative data. A survey of healthcare professionals was conducted to gather data on current practices and challenges, while interviews with stakeholders provided additional insights into the potential benefits and limitations of LMIS. A literature review on LMIS in healthcare was also conducted to inform the study. Results: The study found that Logistics Management Information Systems (LMIS) can improve rural healthcare by enhancing resource allocation, patient care, and decision-making. However, challenges include infrastructure limitations, training needs, data privacy concerns, and financial constraints. Addressing these challenges can unlock LMIS's potential to transform rural healthcare. Conclusion: This study demonstrates the potential of LMIS to improve healthcare access and quality in rural Kazakhstan. While there are implementation challenges, these can be addressed through targeted investments in infrastructure, training, and data security. The findings of this study have important implications for policymakers, healthcare professionals, and other stakeholders seeking to improve healthcare outcomes in rural areas.

Purpose: The purpose of this article is to examine the supply chain issues in the palm oil industry in Malaysia and by proposing a comprehensive and strategic plan. Research design, data and methodology: Through meticulous qualitative analysis, we have identified the strengths, weaknesses, opportunities, and threats (SWOT) affecting the Malaysian palm oil supply chain. Leveraging the SWOT-Quantitative Strategic Planning Matrix (QSPM), we have critically assessed a range of strategies. Results: Our findings have underscored the supply chain's robust infrastructure and efficient operations as significant strengths, while environmental impact and distribution concerns emerged as notable weaknesses. The study highlights the promotion of certified sustainable palm oil to meet global demands as the most promising opportunity, juxtaposed against stricter regulations hampering market access as the primary threat. Remarkably, the QSPM has singled out the activation of existing infrastructure as the top priority. Conclusions: This study contributes substantially to the field by offering an in-depth analysis and improvement blueprint specifically tailored to the palm oil supply chain. In light of prevailing negative perceptions, distribution campaigns, and trade hurdles, businesses can harness the strategic insights presented here to unlock the full potential of the supply chain and steer it towards sustainable prosperity.

Purpose: Market competition in the fashion industry is intensifying, pushing brands to strive for consumer preference and market leadership. Mobile fashion applications have emerged as key distribution channels, with live streaming being a common feature for product distribution and consumer loyalty. Therefore, this study will analyze the loyalty model in live streaming on mobile fashion applications by integrating the quality loyalty model, parasocial relationships, and uses and gratifications (U&G) theory. Research design, data and methodology: Data were collected from a survey of 427 respondents who are customers of a fashion product that had been purchased through live streaming on a mobile fashion application and processed using the PLS-SEM method Results: The results of the study show that the live streamer and product quality significantly influence satisfaction and loyalty. Conversely, AR content and live streaming content do not directly influence loyalty but have an indirect effect through satisfaction Conclusions: this study is the first to model loyalty in mobile fashion applications by integrating the quality loyalty model, parasocial relationship, and U&G theory. Practically, fashion companies are advised to conduct live streaming by considering aspects of content, live streamer, and product quality to enhance satisfaction and loyalty.

Purpose: This study explores the impact of interactivity and professionalism on consumer trust and purchase intentions in live-streaming distribution channels, explicitly focusing on Shopee Live in Indonesia. While prior research has examined trust as a general mediator between live-streaming features and consumer behavior, this study focuses on the distinct effects of trust in sellers versus in platforms. Utilizing the S-O-R framework, this research provides a novel exploration of how these trust dimensions act as an intermediary between live-streaming features and purchase intentions. Research Methods: Data were collected from 373 Shopee Live users who purchased fashion products via online surveys. The research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed model and hypotheses. Results: Findings reveal that interactivity positively affects trust in both sellers and platforms but does not directly influence purchase intentions. Conversely, professionalism directly impacts purchase intentions and enhances trust. Trust in sellers and platforms significantly mediates the relationship between interactivity, professionalism, and purchase intentions. Specifically, trust in sellers substantially affects purchase intentions more than trust in platforms. Conclusion: The study concludes that while interactivity builds essential trust, professionalism directly drives purchase intentions, highlighting the importance of professional conduct in live-streaming distribution channel contexts.

Purpose: This research analyzes consumer behavior by examining how augmented reality virtual try-on features and product information distribution affect consumer satisfaction through enhanced brand experience. The focus is on Maybelline's Shopee Official Account, as implementing these strategies can strengthen customer relationship management by improving the online shopping experience for cosmetic products. Research design, data and methodology: Employing a quantitative method, this study utilized a survey technique distributed to 100 respondents who are followers of Maybelline's Shopee Official Account. The data were analyzed using Structural Equation Modeling (SEM), supported by SmartPLS. Results: This study provides evidence that augmented reality does not significantly affect brand experience or customer happiness. The research findings indicate that while this technology enables customers to test cosmetics digitally, its impact on customer satisfaction is minimal. Augmented reality does not appear to influence consumer behavior, as reflected in customer satisfaction. Conclusions: This research underscores the importance of understanding contextual factors and product characteristics when incorporating augmented reality in marketing to harness its potential benefits and influence consumer behavior. The study focused exclusively on the identified variables and Maybelline's cosmetic products available on the Shopee platform. Further research is required to explore more complex variables.

Purpose: This study examines the distribution of skincare products through digital channels, focusing on the role of brand awareness within the field of distribution science. As social media platforms like TikTok revolutionize distribution strategies, this research aims to identify the key factors influencing brand awareness in the distribution of skincare products on TikTok. Specifically, the study explores how influencer marketing, content marketing, and electronic word-of-mouth (E-WOM) affect the distribution process by enhancing brand awareness.. Research design, data, and methodology: Employing an explanatory quantitative method, the study surveyed 400 TikTok users exposed to NPURE skincare promotions. Data was collected via Google Forms using non-probability purposive sampling. The analysis was conducted using SmartPLS and Structural Equation Modeling (SEM) to examine the relationships between distribution factors and brand awareness. Results: The findings reveal significant relationships between (1) influencer marketing and brand awareness, (2) content marketing and brand awareness, and (3) electronic word-of-mouth (E-WOM) and brand awareness in the context of skincare product distribution on TikTok. Conclusion: This research contributes to the field of distribution science by demonstrating how digital marketing strategies on TikTok influence brand awareness, consequently impacting the distribution of skincare products. The findings offer insights for optimizing distribution strategies in the digital age, highlighting the significance of influencer partnerships, content creation, and promoting positive E-WOM in digital distribution channels.

Purpose: This study exploresthe impact of e-service quality (e-SQ) on satisfaction, trust, and loyalty within Chinese online travel retail distribution agencies (OTRDAs) using the SOR (stimulus-organism-response) model. In addition, this research examines the mediating roles of satisfaction and trust in the relationship between e-SQ and loyalty. In the model, e-SQ encompasses four sub-dimensions, such as information, efficiency, reliability, and security. Research design, data, and methodology: Data were collected from 401 respondents through an online survey. The data were analyzed using SPSS 25.0 and SmartPLS 4.1 to test the relationships among the variables. Results: The findings reveal that information, efficiency, reliability, and security positively influence satisfaction and trust. Both satisfaction and trust, in turn, significantly enhance loyalty. Mediation analysisindicatesthat satisfaction and trust partially mediate the relationship between e-SQ and loyalty. Conclusions: The study highlights the direct effects of e-SQ components on satisfaction and trust, as well as their indirect effects on loyalty within the OTRDA framework. Notably, trust exerts a stronger influence on loyalty than satisfaction, underscoring the importance of trust as a mediator in the satisfaction-loyalty relationship. Consequently, customer loyalty programs for OTRDAs should prioritize trust evaluations alongside satisfaction measures.

Purpose: This study investigated the microbial status of beverages and desserts containing strawberries sold at coffee outlets in Busan, South Korea. The study sought to identify differencesin types of foodservice management and microbial status of beverages and desserts. Research design and methodology: This study compared microbial status between franchised and single-unit outlets via microbial laboratory tests. In addition, impact of risk factors on microbial status were investigated. We analyzed the data using independent t-tests and chi-square tests. In order to measure the impact of risk factors on microbial status, multiple regression was run. We expected franchised outlets to be more likely to apply food safety practices than single-unit outlets. The principal results: Results of microbial testing showed that franchised outlets had a higher microbial status than single-unit outlets. The results showed that franchise outlets were more inclined to adhere to food safety practices than single-unit outlets when it comes to total number of bacteria however for coliform group results showed otherwise. Major conclusions: These study results suggest that a standard food safety and sanitation manual for coffee outlets is needed, especially for single-unit coffee outlets. The current inspection items should be revised accordingly to ensure customer safety.